Work the comments under published posts in one pass: list unanswered ones, reply only where a reply is genuinely expected (at most three per pass), name top commenters as warm-DM candidates, and prepare reply drafts on approval. Triggers: "/comments", "unanswered comments", "who is commenting".
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See how to installReview the instructions the agent will receive before you install.
🧒 End the report to a non-technical owner with a short "In plain words" recap. (memory
eli5-always)
One pass: show the comments and reply surgically where a reply is actually expected. It collects and displays; it sends replies only on the owner's explicit "+". A thin layer (AK-47) over the engines in $IMPORTS_ROOT/content-factory\registry\.
🔴 BATTLE LESSON 2026-07-15 (memory
bulk-replies-cringe-one-offer-converts). The goal "zero unanswered" is CANCELLED: a batch of 16 replies to old comments was deleted by the owner in full ("my batch went out… I'm embarrassed myself"), comment auto-posting was turned off, and one of our accounts lost access to a third-party group. In the same night ONE public call-to-action post landed a partner within 30 hours. → Default = stay silent. Reply only if: it is addressed to us OR the thread is alive (younger than ~a week) OR a person is personally waiting for an answer. Older than that — skip, and that is NOT a debt. → Ceiling ≤3 replies per pass, never as a back-to-back series inside someone else's group: pace and volume read as a bot regardless of how good the text is. → Value is measured in people who moved, not in the unanswered counter.
Boundaries: this is about comments under OUR published posts (pubmetrics.db). The separate club corpus has its own skill (/sostav-comments). Facebook comments will be pulled in once the Graph token is live — for now the source is Telegram.
First refresh the database so you don't reply to stale material:
python tg_comments_collect.py (idempotent; exit 3 = the sending rail is busy → say "retry later", don't crash).python pub_metrics.py status — how many unanswered in total.python pub_comments_report.py — digest of the unanswered ones (spam bots from spam_authors.txt are already flagged 🤖 and filtered out).python pub_metrics.py top-commenters --n 15 — who comments most often.Show it to the owner compactly: N unanswered per platform · top-5 commenters · link to the dashboard _Dashboards\Pub-Registry-Metrics.html.
Draft-first, sending by hand or on "+":
/find <name> (namesearch) + grep the vault + the Telegram profile (get_full_user by author_id from comments). Know who you are writing to.pub_metrics.py mark-replied --cid <id> (or the next tg_comments_collect.py will set replied by itself).An active commenter with no CRM card = a candidate. Create the card (CRM), run a RECALL. ⭐ The offer (testers/a call/early access) goes publicly into the group, not by DM — a DM only as a personal nudge AFTER the public call (canon: the house rulebook offer-to-active-people-publicly-not-by-dm, memory public-offer-in-group). Don't send a DM without a "+" ([[telegram-account-identities]]). Clan members are not leads.
spam_authors.txt (author_id # reason).The morning auto-ping of unanswered items into the fleet log chat (05:35, task "Pub-Comments-Morning") and the nightly collection (03:40, collect_pub_metrics.cmd) — this skill is the manual, on-demand twin of those routines. Canon: 00-System\Pub-Metrics-Registry.md, memory content-pub-registry.
Like this skill? It is one of 100 in second-brain-starter-kit: the second brain we built for ourselves and run every day at Palo Alto AI Research Lab. Install the whole set with npx skills add tonydzi/second-brain-starter-kit. Everything is open source and free, so take what you need.
Flagships worth a look on their own: secondop-panel (a second opinion from a panel of external models), claude-memory-tidy (stop your agent's memory from rotting), telegram-mcp-kit (your own Telegram over MCP in about 15 minutes).
Author: Anton Dziatkovskii, Palo Alto AI Research Lab. Telegram @tonydzi - WhatsApp +1 341 222 9178 - X @Tony_Stef_
Engineers: want to test-drive this setup? Message me. I hand out free starter seeds to engineers who test and report back, and custom skill requests are welcome.
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Run an autonomous consensus round between agent peers on several machines: they negotiate a decision over a shared channel and execute it without a human relaying messages. Use when multiple machines must agree on a change. Triggers: "/03", "work it out among yourselves", "find consensus". Wakes the human only for irreversible actions or a deadlock.
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Recover a session after a hard crash (app died, machine rebooted, context lost mid-work): replay the turn-state ledger for the last requests, files and decisions, run a green/red health ping over the system map, file sync and MCP connectors, then rebuild the previous session history for pickup. Triggers: "/1", "resume after crash", "wake".
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Show the operator's day: today's calendar plus what needs them personally (leads due, people awaiting a reply, deadlines), pulled from Calendar and Telegram and ranked. Read-only: sends and commits nothing. Triggers: "/agenda", "what's on today", "my agenda".
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Rewrite machine-written text so it reads like a busy human wrote it: cut 50-70%, break the even rhythm, drop AI-tell words and filler, keep facts and protected terms. Use before publishing any post, reply or email drafted by a model. Triggers: /ai-slop, /slop, humanize, anti-slop, make it shorter and alive.
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Decision protocol for strategic work: recall the knowledge vault, run a gap analysis, emit a deep-research prompt for external tools, then synthesize the returned reports into a decision memo. Use before any new product, feature, market, pricing, GTM or architecture call, where local recall alone is not enough. Triggers: "/alfa-search-recall-deepresearch", "alpha protocol", "R+DR".
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- КРЕДИТ АВТОРУ ИДЕИ: совет из комментария (TG @ClawRus / @ClawInga, комменты под постами Антона в FB, треды и issue на… Триггеры: “/alpha-credit“, “/credit“, “кто нам это посоветовал“, “запиши совет“, “поблагодари советчиков“, “кому мы должны спасибо“, “кредит автору“, “чей это был совет“, “credit the author“
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